Regine Lendway
Papers
1
Total Citations
3
H-Index
1
About
Regine Lendway is a pioneering researcher at the intersection of robotics, tactile sensing, and computer vision. Her work focuses on solving one of the most challenging problems in dexterous manipulation: enabling robots to accurately perceive and manipulate objects despite severe visual occlusion from their own hands. In her highly cited 2025 paper, Lendway introduced a novel visuo-tactile approach for 3D object pose estimation using multi-finger robot hands equipped with low-resolution in-hand tactile sensors. By fusing visual data with tactile feedback, her method allows robots to maintain precise awareness of grasped objects—a critical capability for assembly tasks and in-hand manipulation. This work has already garnered significant attention, accumulating 3 citations shortly after publication and establishing her as a rising authority in sensor fusion for robotic manipulation. Lendway’s contributions are particularly impactful for advancing industrial automation and human-robot collaboration, where reliable object handling under occlusion remains a bottleneck. Her innovative integration of low-cost tactile sensing with vision systems promises to make dexterous robotic manipulation more robust and accessible, paving the way for next-generation manufacturing and assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1